Article Per Year (5 Year)
p-Index From 2021 - 2026
7.844
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Edutech: Jurnal Teknologi Pendidikan Semantik Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Ilmiah Kursor Indonesian Green Technology Journal Jurnal Transformatika International Journal of Advances in Intelligent Informatics Scientific Journal of Informatics JAIS (Journal of Applied Intelligent System) JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika Tech-E Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control CogITo Smart Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING International Journal of New Media Technology MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Data Science: Journal of Computing and Applied Informatics JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Building of Informatics, Technology and Science Indonesian Journal of Electrical Engineering and Computer Science International Journal of Advances in Data and Information Systems Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences JOURNAL SCIENTIFIC OF MANDALIKA (JSM) Jurnal Pendidikan dan Teknologi Indonesia Jurnal Teknologi Informasi Cyberku Studies in English Language and Education Moneter : Jurnal Keuangan dan Perbankan Scientific Journal of Informatics Journal on Pustaka Cendekia Informatika
Pulung Nurtantio Andono
Universitas Dian Nuswantoro
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

Published : 68 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 68 Documents
Search

 3   4   5   6   7 
Evaluating the Impact of Particle Swarm Optimization Based Feature Selection on Support Vector Machine Performance in Coral Reef Health Classification Bastiaans, Jessica Carmelita; Hartojo, James; Pramunendar, Ricardus Anggi; Andono, Pulung Nurtantio
IJNMT (International Journal of New Media Technology) Vol 11 No 2 (2024): Vol 11 No 2 (2024): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v11i2.3761

Abstract

This research explores improving coral reef image classification accuracy by combining Histogram of Oriented Gradients (HOG) feature extraction, image classification with Support Vector Machine (SVM), and feature selection with Particle Swarm Optimization (PSO). Given the ecological importance of coral reefs and the threats they face, accurate classification of coral reef health is essential for conservation efforts. This study used healthy, whitish, and dead coral reef datasets divided into training, validation, and test data. The proposed approach successfully improved the classification accuracy significantly, reaching 85.44% with the SVM model optimized by PSO, compared to 79.11% in the original SVM model. PSO not only improves accuracy but also reduces running time, demonstrating its effectiveness and computational efficiency. The results of this study highlight the potential of PSO in optimizing machine learning models, especially in complex image classification tasks. While the results obtained are promising, the study acknowledges several limitations, including the need for further validation with larger and more diverse datasets to ensure model robustness and generalizability. This research contributes to the field of marine ecology by providing a more accurate and efficient coral reef classification method, which can be applied to other image classifications.
IMPLEMENTATION OF LSTM (LONG SHORT TERM MEMORY) ALGORITHM TO PREDICT WEATHER IN CENTRAL JAVA Irwan, Rhedy; Andono, Pulung Nurtantio; Al Zami, Farrikh; Ocky Saputra, Filmada; Megantara, Rama Aria; Handoko, L. Budi; Umam, Chaerul
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 6 (2023): JUTIF Volume 4, Number 6, Desember 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.6.1118

Abstract

Agro-indutrial agricultural production such as red onions in Indonesia has a very important share in driving Indonesia's economic growth, especially in Central Java province which contributed 28.15% of the total national red onion production in 2021. Weather conditions have a major influence on the red onion planting process until the red onions are ready to be harvested. In this study, the objective is to predict various types of weather such as rainfall, air temperature, and air humidity in seven districts in Central Java, namely Brebes, Temanggung, Demak, Boyolali, Kendal, Pati, and Tegal. To do this, the use of the LSTM (Long Short Term Memory) algorithm with its ability to store memory longer than RNN will be reliable for predicting various types of weather in the future. This research was developed with the CRISP-DM (Cross Industry Process Model for Data Mining) method which has a goal-oriented approach, this method is a mature and widely accepted method in Data Mining with various applications in Machine Learning. With the final results from 39 models by using the evaluation of the average value of train MSE 0.013, test RMSE 0.11, test MSE of 0.02, test RMSE 0.12 and succeed to predict 5 days or months ahead from the last data that is provided.
Imperceptible Watermarking Using Discrete Wavelet Transform and Daisy Descriptor for Hiding Noisy Watermark Abdussalam, Abdussalam; Umam, Chaerul; Sari, Wellia Shinta; Rachmawanto, Eko Hari; Shidik, Guruh Fajar; Andono, Pulung Nurtantio; Lestiawan, Heru; Islam, Hussain Md Mehedul
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 2 (2025): JUTIF Volume 6, Number 2, April 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.2.4423

Abstract

This research aims at overcoming the challenge of improving security and robustness in digital image watermarking, a critical activity in protecting intellectual property against misuse and manipulation. In a move to overcome such a challenge, this work introduces a new form of watermarking that incorporates Discrete Wavelet Transform (DWT) and Daisy Descriptor, with a view to enhancing both durability and invisibility of the watermark. The proposed method embeds a noise-variant watermark into selected frequency sub-bands using DWT, while the Daisy Descriptor enhances resistance to noise-based attacks. Testing conducted with three grayscale images, namely Lena, Cameraman, and Lion, each with a resolution of 512 × 512 pixels, showed that the proposed DWT-Daisy Descriptor outperforms current methodologies, producing high Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index (SSIM) values. In fact, in Lena, a PSNR value of 63.71 dB and an SSIM value of 1 were attained, with Cameraman having a PSNR value of 68.33 dB and an SSIM value of 1. As for attack resistivity, a high PSNR value of 50.11 dB under Gaussian attack and 55.70 dB under Salt-and-Pepper attack, with SSIM values approaching 1, confirm the robustness of the proposed scheme. This study highlights the significance of an efficient and secure watermarking technique that not only preserves image quality but also withstands various distortions, making it highly relevant for digital content protection in modern multimedia applications.
Securing Medical Images Using Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) for Image Steganography Pramudya, Elkaf Rahmawan; Handoko, L. Budi; Harjo, Budi; Sani, Ramadhan Rakhmat; Sari, Christy Atika; Shidik, Guruh Fajar; Andono, Pulung Nurtantio; Sarker, Md. Kamruzzaman
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 2 (2025): JUTIF Volume 6, Number 2, April 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.2.4426

Abstract

Steganography is a technique for embedding secret information into digital media, such as medical images, without significantly affecting their visual quality. The primary challenge in medical image steganography is preserving the quality of the cover image while ensuring robustness against distortions such as compression or data manipulation attacks, which may impact diagnostic accuracy. This study proposes an enhanced steganographic method based on Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) to improve the security and robustness of medical image embedding. DWT decomposes the medical image into four frequency sub-bands (LL, LH, HL, HH), while SVD is applied to embed the secret image while maintaining essential medical features. Experimental results show that the proposed method achieves a PSNR value of up to 78 dB and an SSIM value approaching 1, indicating that the stego image quality is nearly identical to the original cover image. Compared to previous DCT-SVD and IWT-SVD-based approaches, the DWT-SVD method offers superior robustness and imperceptibility, particularly in preserving image quality in complex-textured medical images. This method contributes to enhancing data security in telemedicine and AI-based medical imaging applications by ensuring that sensitive medical data remains protected while preserving image integrity for diagnostic use.
Penerapan Metode SAW untuk Perancangan SPK Penerimaan Karyawan Di PT Pinnacle Apparels Novianto, Sendi; Panca Hutama Caniago; Pulung Nurtantio Andono
Journal on Pustaka Cendekia Informatika Vol. 1 No. 2 (2023): Journal on Pustaka Cendekia Informatika: Volume 1 Nomor 2 June-September Tahun
Publisher : PT Pustaka Cendekia Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/pctif.v1i2.19

Abstract

A company cannot grow without the support of its employees as one of its pillars. Therefore, the company needs to recruit potential and talented candidates who can contribute to its success. Skilled employees who can help the company grow and compete with the changing times are now receiving special attention, as recruitment processes that do not meet the company's needs can hinder its development. Hence, a decision support system is needed for the employee selection process. This decision support system utilizes the Simple Additive Weighting (SAW) method. Candidates are compared to each other, resulting in a prioritized intensity value that assesses each candidate. This decision support system simplifies the evaluation of each candidate and allows for changes in criteria and weight values. This decision support system is beneficial for facilitating decision-making related to the selection of suitable candidates, ensuring that the company hires the most suitable employees
Strategi Komunikasi Dalam Pelayanan Masyarakat pada Anggota Kepolisian di Polres Klaten Widyatmoko, Karis; Wahyu Mulyono, Ibnu Utomo; Ningrum, Novita Kurnia; Umami, Zahrotul; Andono, Pulung Nurtantio
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 6, No 3 (2023): September 2023
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v6i3.1618

Abstract

Keberadaan suatu organisasi atau institusi memiliki aspek yang perlu dicapai bersama seperti visi misi. Anggota organisasi perlu menyamakan persepsi dan langkah untuk mencapai tujuan bersama. Demikian juga dengan Polres Klaten sebagai institusi kepolisian membutuhkan adanya kesamaan persepsi dan tujuan dalam menjalankan tugas baik dalam internal kepolisian maupun eksternal untuk memberikan informasi dan melayani masyarakat. Untuk menjaga integritas Polres Klaten dalam menjalankan tugas dalam melayani masyarakat dibutuhkan adanya pengelolaan yang efektif baik sehingga visi misi institusi dapat terus dijalankan sehingga tujuan bersamaa intitusi dapat diwujudkan. Salah satu hal penting dalam pengelolaan institusi adalah bagaiamana komunikasi dapat dijalankan secara baik, informasi dapat tersampaikan dengan utuh pada seluruh anggota polisi di Polres Klaten. Oleh karena itu dibutuhkan adanya strategi komunikasi yang tepat agar masalah yang disebabkann adanya penyampaian informasi yang buruk dapat diminimalisir. Dengan menerapkan strategi komunikasi yang tepat diharapkan Polres Klaten diharapkan dapat mengantisipasi konflik internal anggota maupun eksternal dalam melayani masyarakat. Dengan demikian fungsi dan tugas dari masing masing lapisan jabatan dapat terlaksana dengan baik sehingga tujuan bersama di Polres Klaten dapat tercapai.
Gamifikasi berbasis Board Game untuk Mendukung Pembelajaran Bahasa Arab Hastuti, Khafiizh; Andono, Pulung Nurtantio; Syarif, Arry Maulana
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 6, No 2 (2023): Mei 2023
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/ja.v6i2.1328

Abstract

Karakteristik Gim edukasi dinilai tepat untuk diimplementasikan di Rumah Tahfidz At Tauhid. Gim edukasi Learning Arabic didesain untuk mendukung pembelajaran Bahasa Arab, dan gim berbasis Web dipilih agar dapat diakses oleh murid tanpa dibatasi oleh ruang dan waktu. Jenis permainan board game dipilih untuk menerapkan gamifikasi dalam pembelajaran Bahasa Arab. Tahap pengembangan gim edukasi dilakukan dengan menggunakan metode prototipe. Metode pengembangan perangkat lunak ini melibatkan interaksi antara pengembang dan pelanggan secara intensif selama proses pengembangan perangkat lunak. Hasil evaluasi yang dilakukan menggunakan teknik user acceptance test menunjukkan bahwa secara umum gim edukasi yang dikembangkan telah memenuhi target yang ditentukan, yaitu menarik minat murid untuk memainkan gim edukasi dalam mendukung pembelajaran Bahasa Arab. Semua murid menyatakan gim edukasi yang dikembangkan menarik untuk dimainkan lagi.
Menavigasi Dunia Digital dengan Meningkatkan Literasi Office, TI, dan Internet di Kalangan Siswa-Siswi Pondok Pesantren Raudhatul Qur'an Paramita, Cinantya; Andono, Pulung Nurtantio; Sudibyo, Usman; Rafrastara, Fauzi Adi; Supriyanto, Catur
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 6, No 2 (2023): Mei 2023
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/ja.v6i2.1338

Abstract

Peningkatan popularitas penggunaan perangkat komputer semakin berkembang di berbagai lapisan masyarakat. Pondok pesantren, yang sebelumnya dianggap sebagai tempat yang kurang produktif dan hanya diperuntukkan bagi mereka yang beragama, kini melakukan inovasi untuk meningkatkan peran dan potensi dalam mendukung kemaslahatan lingkungan sekitarnya. Pondok Pesantren Raudhatul Qur’an di Kauman Semarang telah banyak menciptakan siswa yang berhasil menghafal Al-Quran. Setelah menyelesaikan studi di pondok, banyak dari mereka yang melanjutkan pendidikan ke sekolah formal atau menjadi pemuka agama yang memberikan pengajaran dan bimbingan kepada masyarakat dalam memahami agama Islam di lingkungan mereka. Oleh karena itu, pelatihan teknologi komputer diperlukan untuk memberikan pengetahuan dan keterampilan bagi para santri agar dapat dimanfaatkan untuk membantu mengurus keperluan administrasi di pondok pesantren dan berguna bagi masa depan mereka. Sebanyak 53 santri diikutsertakan untuk mengikuti pelatihan yang mencakup pengenalan dasar teknologi informasi [1] seperti hardware, software, penggunaan aplikasi office seperti Word, Excel, dan PowerPoint, serta internet untuk komunikasi dan pengiriman data digital. Berdasarkan hasil pelatihan yang dilaksanakan, para santri memberikan respon positif seperti yang terlihat pada diagram 3 dan 4. Pada diagram 3 menunjukkan bahwa 81,4% dari para santri sangat tertarik dengan pelatihan tersebut, sementara hanya 13,9% yang merasa biasa-biasa saja dan 10,7% yang terpaksa mengikuti. Selain itu, hasil perbandingan pretest dan postest pada diagram 4 menunjukkan peningkatan yang signifikan setelah para santri mengikuti pelatihan tersebut.
Enhanced Classification of Lombok Pearl Quality Based on Shape and Size Using PSO-Optimized Artificial Neural Network Anshori, Muhammad Izzul; Andono, Pulung Nurtantio; Soeleman, Arief
International Journal of Advances in Data and Information Systems Vol. 6 No. 3 (2025): December 2025 - International Journal of Advances in Data and Information Syste
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v6i3.1434

Abstract

This study aims to develop an intelligent classification model for pearl quality assessment using an integrated approach combining Gray Level Co-occurrence Matrix (GLCM), Particle Swarm Optimization (PSO), and Artificial Neural Network (ANN). Sixteen texture features were extracted from four directional orientations using GLCM. PSO was employed as a feature selection algorithm to reduce dimensionality and enhance classification performance. Two ANN models were compared: a baseline model using all GLCM features and an optimized model utilizing only PSO-selected features. The models were trained and validated using 10-fold cross-validation. Results showed that the PSO-enhanced ANN achieved an accuracy of 94.72%, outperforming the baseline model which reached only 89.17%. Further evaluations using confusion matrix, Receiver Operating Characteristic (ROC) analysis, and Principal Component Analysis (PCA) confirmed the superior discriminative capability and improved class separability of the optimized model. These findings highlight the effectiveness of combining swarm intelligence with neural networks in texture-based classification tasks, offering a robust and scalable solution for automated quality inspection in the pearl industry and related domains.
Climate Change Utilization Strategies Through the Lens of Technology: A Scientific Review Suryawijaya, Tito Wira Eka; Andono, Pulung Nurtantio; Yusianto, Rindra
Indonesian Green Technology Journal Vol. 13 No. 2 (2024): Indonesian Green Technology Journal
Publisher : Graduate School, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.igtj.2024.013.02.02

Abstract

This study sheds light on the untapped potential of AI in addressing the complex climate change challenges, simultaneously promoting energy efficiency and sustainable development. Issues such as carbon emissions and global climate shifts demand sophisticated solutions, and AI emerges as a versatile tool across various domains, including industry, renewable energy, and meteorological predictions, offering promising resolutions. The research findings unequivocally demonstrate AI's ability to optimize energy consumption, simulate solar radiation, predict severe weather conditions, and contribute to overall sustainability efforts. Despite existing challenges, such as substantial costs and data shortages, the prospects presented by AI for improving energy efficiency and embracing renewable energy sources are notably promising. The novelty of this research lies in its emphasis on AI's pivotal role in energy, meteorology, and grid management, underscoring the imperative collaborative synergy among governmental bodies, industrial players, and research institutions to drive sustainable AI innovations. This study encourages a holistic approach to harnessing AI's potential for mitigating climate change impacts and fostering a more sustainable future.
Co-Authors Abdussalam Abdussalam, Abdussalam Achmad Ridwan Aditya Wahyu Ramadhan Affandy Agus Winarno, Agus Ahmad Zainul Fanani Al zami, Farrikh Al-Fatih, Gilang Fajar Alzami, Farrikh Anshori, Muhammad Izzul Aria Hendrawan, Aria Aris Marjuni Aris Puji Purwatiningsih Arry Maulana Syarif, Arry Maulana Asih Rohmani Asih Rohmani, Asih Asnul Dahar Bin Minghat Bastiaans, Jessica Carmelita Budi Harjo Cahaya Jatmoko Candhy Fadhila Arsyad Catur Supriyanto Catur Supriyanto Catur Supriyanto Catur Supriyanto Catur Supriyanto Catur Supriyanto Chaerul Umam Christy Atika Sari D, Ishak Bintang Danang Bagus Chandra Prasetiyo Darmawan, Aditya Aqil Denny Senata Dito, Aliffia Putri Doheir, Mohamed Dwi Eko Waluyo Dwi Puji Prabowo, Dwi Puji Dwiza Riana Edi Noersasongko Egia Rosi Subhiyakto, Egia Rosi Ekaprana Wijaya Eko Hari Rachmawanto Elkaf Rahmawan Pramudya Erna Zuni Astuti Erna Zuni Astuti Fahmy Ferdian Dalimarta Fajrian Nur Adnan Fauzi Adi Rafrastara Firman Wahyudi, Firman Fitri Yakub Folasade Olubusola Isinkaye Guruh Fajar Shidik Hamir, Mun Hanny Haryanto Hartojo, James Harun Al Azies Heru Lestiawan Hidayat, Sholeh Hisyam Syarif Husain Husain I Ketut Eddy Purnama Ibnu Utomo Wahyu Mulyono, Ibnu Utomo Irwan, Rhedy Islam, Hussain Md Mehedul Ismarita Ramayanti Ivan Maulana James Hartojo Jessica Carmelita Bastiaans Jumanto Jumanto Junta Zeniarja Karis Widyatmoko Khafiizh Hastuti Kiat, Ng Poh Kunio Kondo L. Budi Handoko M Arief Soeleman M. Arief Soeleman M. Arif Soeleman Maria Goretti Catur Yuantari Md Kamruzzaman Sarker Megantara, Rama Aria Mila Sartika, Mila Moch Arief Soeleman Moch Arief Soeleman Moch Arief Soeleman, Moch Arief Moch. Arief Soeleman Mochamad Hariadi Mochammad Arief Soeleman Muhammad Munsarif Muhammad Naufal, Muhammad Muljono Muljono Nanna Suryana Herman Ningrum, Novita Kurnia Nita Merlina Noor Ageng Setiyanto, Noor Ageng Nova Rijati Nur Azise Ocky Saputra, Filmada Panca Hutama Caniago Paramita, Cinantya Pergiwati, Dewi Pramitasari, Ratih Prasetyoningrum, Devi Pujiono Pujiono Pujiono Pujiono Purwanto Purwanto Purwanto Purwanto Putra, Angga Permana Raden Arief Nugroho Rafsanjani, Muhammad Ivan Rahmatullah, Muhammad Rifqi Fadhlan Ramadhan Rakhmat Sani Ricardus Anggi P Ricardus Anggi Pramunendar Rohman, Muhammad Syaifur Ruri Suko Basuki Saputra, Filmada Ocky Saputri, Pungky Nabella Saputro, Wicaksono Agung Saraswati, Galuh Wilujeng Sari Ayu Wulandari Sarker, Md. Kamruzzaman Satriyawibawa, Muhammad Yiko Savicevic, Anamarija Jurcev Senata, Denny Sendi Novianto Shafa, Raihanaldy Ash Shier Nee Saw Sinaga, Daurat Sindhu Rakasiwi Siti Hadiati Nugraini Soeleman, Arief Soeleman, M Arief Soeleman, M. Arief Soeleman, Moch. Arief Soong, Lim Way Sri Winarno Sri Winarno Steven, Alvin Sudibyo, Usman Suharyanto Suharyanto Sukmawati Anggraeni Putri, Sukmawati Anggraeni Sukmono, Indriyo K. Supriyono Asfawi Suryawijaya, Tito Wira Eka Susanto, Susanto Tendi Tri Wiyanto, Tendi Tri Tengku Riza Zarzani N Thifaal, Nisrina Salwa Torhino, Rizal Wellia Shinta Sari Yaacob, Noorayisahbe Mohd Yusianto Rindra Zahrotul Umami, Zahrotul Zainal Arifin Hasibuan